160 citations · 163 across the 3 of their papers we have counts for
7 papers
River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8
River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performan…
Adaptive XGBoost for Evolving Data Streams
Jacob Montiel, Rory Mitchell, Eibe Frank +3
Boosting is an ensemble method that combines base models in a sequential manner to achieve high predictive accuracy. A popular learning algorithm based on this ensemble method is e…
Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities
Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem
An important index widely used to analyze social and information networks is betweenness centrality. In this paper, first given a directed network and a vertex , we…
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel, Jesse Read, Albert Bifet +1
Scikit-multiflow is a multi-output/multi-label and stream data mining framework for the Python programming language. Conceived to serve as a platform to encourage democratization o…
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality in Large Networks
Mostafa Haghir Chehreghani, Talel Abdessalem, and Albert Bifet
Betweenness centrality is an important index widely used in different domains such as social networks, traffic networks and the world wide web. However, even for mid-size networks…
Social media marketing analytics : a multicultural approach applied to the beauty \& cosmetic sector
Hajer Kefi, Sitesh Indra, Talel Abdessalem
We present in this paper a multicultural approach to social media marketing analytics, applied in two Facebook brand pages: French (individualistic culture, the country home of the…